Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS)

The European Values Study (EVS) and the World Values Survey (WVS) are two large-scale, cross-national and longitudinal survey research programmes. They include a large number of questions on moral, religious, social, political, occupational and family values which have been replicated since the earl...

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Main Author: EVS/WVS
Other Authors: Gedeshi, Ilir, Rotman, David, Pachulia, Merab, Poghosyan, Gevorg, Kritzinger, Sylvia, Fotev, Georgy, Kolenović-Đapo, Jadranka, Baloban, Stjepan, Baloban, Josip, Frederiksen, Morten, Rabušic, Ladislav, Saar, Erki, Ketola, Kimmo, Wolf, Christof, Bréchon, Pierre, Rosta, Gergely, Voas, David, Rovati, Giancarlo, Jónsdóttir, Guðbjörg A., Ziliukaite, Ruta, Petkovska, Antoanela, Komar, Olivera, Reeskens, Tim, Jenssen, Anders T., Marody, Mirosława, Soboleva, Natalia, Voicu, Bogdan, Bešić, Miloš, Strapcová, Katarina, Uhan, Samo, Silvestre Cabrera, María, Wallman-Lundåsen, Susanne, Ernst Stähli, Michèle, Ramos, Alice, Micó Ibáñez, Joan, Carballo, Marita, McAllister, Ian, Foa, Roberto Stefan (PI Bangladesh), Moreno Morales, Daniel E., de Oliveira de Castro, Henrique Carlos, Lagos, Marta, Zhong, Yang, Casas, Andres (PI Colombia), Yesilada, Birol (PI Cyprus), Paez, Cristina, Abdel Latif, Abdel Hamid, Jennings, Will (PI Ethiopia), Welzel, Christian, Díaz Argueta, Julio César, Cheng, Edmund
Format: Dataset
Language:English
Published: World Values Survey Association 2021
Subjects:
Online Access:https://doi.org/10.14281/18241.14
https://doi.org/10.14281/18241.2
https://doi.org/10.14281/18241.11
id ftdara:oai:oai.da-ra.de:771738
record_format openpolar
institution Open Polar
collection da|ra - Registration agency for social and economic data
op_collection_id ftdara
language English
topic Political Attitudes and Behavior
Work and Industry
Society
Culture
Family
Religion and "Weltanschauung"
Person
Personality
Role
LABOUR AND EMPLOYMENT
Cultural and national identity
Religion and values
Politisches Verhalten und politische Einstellungen
Family life and marriage
Gender and gender roles
Political behaviour and attitudes
spellingShingle Political Attitudes and Behavior
Work and Industry
Society
Culture
Family
Religion and "Weltanschauung"
Person
Personality
Role
LABOUR AND EMPLOYMENT
Cultural and national identity
Religion and values
Politisches Verhalten und politische Einstellungen
Family life and marriage
Gender and gender roles
Political behaviour and attitudes
EVS/WVS
Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS)
topic_facet Political Attitudes and Behavior
Work and Industry
Society
Culture
Family
Religion and "Weltanschauung"
Person
Personality
Role
LABOUR AND EMPLOYMENT
Cultural and national identity
Religion and values
Politisches Verhalten und politische Einstellungen
Family life and marriage
Gender and gender roles
Political behaviour and attitudes
description The European Values Study (EVS) and the World Values Survey (WVS) are two large-scale, cross-national and longitudinal survey research programmes. They include a large number of questions on moral, religious, social, political, occupational and family values which have been replicated since the early eighties. Both organizations agreed to cooperate in joint data collection from 2017. EVS has been responsible for planning and conducting surveys in European countries, using the EVS questionnaire and EVS methodological guidelines. WVSA has been responsible for planning and conducting surveys in countries in the world outside Europe, using the WVS questionnaire and WVS methodological guidelines. Both organisations developed their draft master questionnaires independently. The joint items define the Common Core of both questionnaires.The Joint EVS/WVS is constructed from the two EVS and WVS source datasets:- European Values Study 2017 Integrated Dataset (EVS 2017), ZA7500 Data file Version 4.0.0, doi:10.4232/1.13560 (https://doi.org/10.4232/1.13560).- European Values Study 2017: Ukraine (EVS 2017), ZA7539 Data file Version 1.0.0, doi:10.4232/1.13714 (https://doi.org/10.4232/1.13714).- World Values Survey: Round Seven–Country-Pooled Datafile. Version 2.0.0, doi:10.14281/18241.13 (https://doi.org/10.14281/18241.13). EVS 2017: The target population is defined as: individuals aged 18 or older (with no upper age limit) that have address of residence (not residential) in [country] within private households at the date of beginning of fieldwork (or in the date of the first visit to the household, in case of random-route selection). Research area: Albania (AL); Armenia (AM); Austria (AT); Azerbaijan (AZ); Belarus (BY); Bosnia and Herzegovina (BA); Bulgaria (BG); Croatia (HR); Czech Republic (CZ); Denmark (DK); Estonia (EE); Finland (FI); France (FR); Georgia (GE); Germany (DE); Great-Britain (GB-GBN); Hungary (HU); Iceland (IS); Italy (IT); Lithuania (LT); Montenegro (ME); Netherlands (NL); North Macedonia (MK); Norway (NO); Poland (PL); Portugal (PT); Romania (RO); Russian Federation (RU); Serbia (RS); Slovakia (SK); Slovenia (SI); Sweden (SE); Spain (ES); Switzerland (CH); Ukraine (UA). WVS wave 7: The target population is defined as: individuals aged 18 (16/17 is acceptable in the countries with such voting age) or older (with no upper age limit), regardless of their nationality, citizenship or language, that have been residing in the [country] within private households for the past 6 months prior to the date of beginning of fieldwork. Research area: Andorra (AD); Argentina (AR); Australia (AU); Bangladesh (BD); Bolivia (BO); Brazil (BR); Canada (CA); Colombia (CO); Chile (CL); China (CN); Cyprus (CY); Ecuador (EC); Egypt (EG); Ethiopia (ET); Germany (DE); Greece (GR); Guatemala (GT); Hong Kong SAR PRC (HK); Indonesia (ID); Iran (IR); Iraq (IQ);Japan (JP); Jordan (JO); Kazakhstan (KZ); Kyrgyzstan (KG); Lebanon (LB); Macao SAR PRC (MO); Malaysia (MY); Mexico (MX); Myanmar (MM); New Zealand (NZ); Nicaragua (NI); Nigeria (NG); Pakistan (PK); Peru (PE); Philippines (PH); Puerto Rico (PR); Romania (RO); Russian Federation (RU); Serbia (RS); Singapore (SG); South Korea (KR); Taiwan ROC (TW); Tajikistan (TJ); Thailand (TH); Tunisia (TN); Turkey (TR); Ukraine (UA); United States (US); Vietnam (VN); Zimbabwe (ZW). Probability: Multistage; Probability: Simple random; Sampling Procedure Comment: EVS 2017: The sampling procedures differ from country to country: Probability Sample: Multistage Sample Probability Sample: Simple Random Sample Representative single stage or multi-stage sampling of the adult population of the country 18 years old and older was used for the EVS 2017. Sample size was set as effective sample size: 1200 for countries with population over 2 million, 1000 for countries with population less than 2 million. 8 countries out of 16 deviated from the guidelines and planned with an effective sample size below the set threshold. Germany, Netherlands, Iceland and Switzerland, due to the mixed mode design, allocated only part (50% or more) of the effective sample size to the interviewer-administered mode. Sample design and other relevant information about sampling were reviewed by the EVS-Methodology Group (EVS-MG) and approved prior to contracting of fieldwork agency or starting of data collection. In case of on-field sampling EVS-MG proposed necessary protocols for documentation of the probabilities of selection of each respondent. The sampling was documented using the Sampling Design Form (SDF) delivered by the national teams (see the EVS2017 Methodological Guidelines, Sampling). The SDF includes the description of the sampling frame and each sampling stage as well as the calculation of the planned gross and net sample size to achieve the required effective sample. Additionally, it includes the analytical description of the inclusion probabilities of the sampling design that are used to calculate design weights. WVS 7: The sampling procedures differ from country to country: Probability Sample: Multistage Sample Probability Sample: Simple Random Sample Representative single stage or multi-stage sampling of the adult population of the country 18 (16) years old and older was used for the WVS 2017-2020. Sample size was set as effective sample size: 1200 for countries with population over 2 million, 1000 for countries with population less than 2 million. Countries with great population size and diversity (e.g. India, China, USA, Russia, Brazil etc.) are required to reach an effective sample of N=1500 or larger. Only 2 countries (Argentina, Chile) deviated from the guidelines and planned with an effective sample size below the set threshold. Sample design and other relevant information about sampling were reviewed by the WVS Scientific Advisory Committee and approved prior to contracting of fieldwork agency or starting of data collection. The sampling was documented using the Survey Design Form delivered by the national teams which included the description of the sampling frame and each sampling stage as well as the calculation of the planned gross and net sample size to achieve the required effective sample. Additionally, it included the analytical description of the inclusion probabilities of the sampling design that are used to calculate design weights. Face-to-face interview: CAPI/CAMI Face-to-face interview: PAPI Telephone interview: CATI Self-administered questionnaire: Web-based Self-administered questionnaire: Paper EVS 2017: Mode of collection: mixed mode Face-to-face interview: CAPI (Computer Assisted Personal Interview) Face-to-face interview: PAPI (Paper and Pencil Interview) Telephone interview: CATI (Computer Assisted Telephone Interview) Self-administered questionnaire: CAWI (Computer-Assisted Web Interview) Self-administered questionnaire: Paper In all countries, fieldwork was conducted on the basis of detailed and uniform instructions prepared by the EVS advisory groups. The main mode in EVS 2017 is face to face (interviewer-administered). An alternative self-administered form was possible but as a parallel mixed mode, i.e. there was no choice for the respondent between modes: either s/he was assigned to face to face, either s/he was assigned to web or web/mail format. In all countries included in the first pre-release, the EVS questionnaire was administered as face-to-face interview (CAPI or/and PAPI). The EVS 2017 Master Questionnaire was provided in English and each national Programme Director had to ensure that the questionnaire was translated into all the languages spoken by 5% or more of the population in the country. A central team monitored the translation process by means of the Translation Management Tool (TMT), developed by CentERdata (Tilburg).WVS wave 7: Mode of collection: mixed mode Face-to-face interview: CAPI (Computer Assisted Personal Interview) Face-to-face interview: PAPI (Paper and Pencil Interview) Telephone interview: CATI (Computer Assisted Telephone Interview) Self-administered questionnaire: CAWI (Computer-Assisted Web Interview) Self-administered questionnaire: Paper In all countries, fieldwork was conducted on the basis of detailed and uniform instructions prepared by the WVS scientific advisory committee and WVSA secretariat. The main data collection mode in WVS 2017-2021 is face to face (interviewer-administered). Several countries employed self-administered interview or mixed-mode approach to data collection: USA (CAWI; CATI); Australia (CAWI; postal survey); Canada (CAWI); Hong Kong SAR (PAPI; CAWI); Malaysia (CAWI; PAPI). The WVS Master Questionnaire was provided in English, Arabic, Russian and Spanish. Each national survey team had to ensure that the questionnaire was translated into all the languages spoken by 15% or more of the population in the country. WVSA Secretariat and Data archive monitored the translation process; every translation is subject to multi-stage validation procedure before the fieldwork can be started.
author2 Gedeshi, Ilir
Rotman, David
Pachulia, Merab
Poghosyan, Gevorg
Kritzinger, Sylvia
Fotev, Georgy
Kolenović-Đapo, Jadranka
Baloban, Stjepan
Baloban, Josip
Frederiksen, Morten
Rabušic, Ladislav
Saar, Erki
Ketola, Kimmo
Wolf, Christof
Bréchon, Pierre
Rosta, Gergely
Voas, David
Rovati, Giancarlo
Jónsdóttir, Guðbjörg A.
Ziliukaite, Ruta
Petkovska, Antoanela
Komar, Olivera
Reeskens, Tim
Jenssen, Anders T.
Marody, Mirosława
Soboleva, Natalia
Voicu, Bogdan
Bešić, Miloš
Strapcová, Katarina
Uhan, Samo
Silvestre Cabrera, María
Wallman-Lundåsen, Susanne
Ernst Stähli, Michèle
Ramos, Alice
Micó Ibáñez, Joan
Carballo, Marita
McAllister, Ian
Foa, Roberto Stefan (PI Bangladesh)
Moreno Morales, Daniel E.
de Oliveira de Castro, Henrique Carlos
Lagos, Marta
Zhong, Yang
Casas, Andres (PI Colombia)
Yesilada, Birol (PI Cyprus)
Paez, Cristina
Abdel Latif, Abdel Hamid
Jennings, Will (PI Ethiopia)
Welzel, Christian
Díaz Argueta, Julio César
Cheng, Edmund
format Dataset
author EVS/WVS
author_facet EVS/WVS
author_sort EVS/WVS
title Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS)
title_short Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS)
title_full Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS)
title_fullStr Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS)
title_full_unstemmed Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS)
title_sort joint evs/wvs 2017-2021 dataset (joint evs/wvs)
publisher World Values Survey Association
publishDate 2021
url https://doi.org/10.14281/18241.14
https://doi.org/10.14281/18241.2
https://doi.org/10.14281/18241.11
op_coverage Albania
Armenia
Austria
Azerbaijan
Bosnia and Herzegovina
Belarus
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Finland
France
Georgia
Germany
Great Britain
Hungary
Iceland
Italy
Montenegro
Lithuania
Macedonia, the Former Yugoslav Republic of
Netherlands
Norway
Poland
Romania
Russian Federation
Serbia
Slovakia
Slovenia
Sweden
Spain
Switzerland
Portugal
Andorra
Argentina
Australia
Bangladesh
Bolivia, Plurinational State of
Brazil
Chile
China
Colombia
Cyprus
Ecuador
Egypt
Ethiopia
Greece
Guatemala
Hong Kong
Indonesia
Iran, Islamic Republic of
Iraq
Japan
Jordan
Kazakhstan
Kyrgyzstan
Lebanon
Macau
Malaysia
Mexico
Myanmar
New Zealand
Nicaragua
Nigeria
Pakistan
Peru
Philippines
Puerto Rico
Korea, Republic of
Taiwan
Tajikistan
Thailand
Tunisia
Turkey
United States
Viet Nam
Zimbabwe
Ukraine
Canada
Singapore
2018-02-24 - 2018-06-24
Albania EVS 2017
2018-02-20 - 2018-04-30
Armenia EVS 2017
2018-11-10 - 2018-12-23
Azerbaijan EVS 2017
2018-01-08 - 2018-05-14
Austria EVS 2017
2019-02-03 - 2019-06-14
Bosnia and Herzegovina EVS 2017
2018-02-01 - 2018-03-05
Belarus EVS 2017
2017-11-11 - 2018-09-01
Bulgaria EVS 2017
2017-10-25 - 2018-02-16
Croatia EVS 2017
2018-03-02 - 2018-08-16
France EVS 2017
2017-11-24 - 2018-07-10
Finland EVS 2017
2018-05-17 - 2018-09-18
Estonia EVS 2017
2017-09-27 - 2018-01-31
Denmark EVS 2017
2017-09-01 - 2017-12-02
Czech Republic EVS 2017
2018-01-11 - 2018-03-18
Georgia EVS 2017
2018-02-20 - 2018-08-21
Hungary EVS 2017
2018-02-12 - 2018-07-16
Great Britain EVS 2017
2017-10-23 - 2018-11-28
Germany EVS 2017
2019-07-01 - 2019-12-02
Montenegro EVS 2017
2017-12-08 - 2018-02-12
Lithuania EVS 2017
2018-09-24 - 2019-01-30
Italy EVS 2017
2017-06-19 - 2018-04-04
Iceland EVS 2017
2018-12-10 - 2019-03-28
North Macedonia EVS 2017
2018-08-22 - 2018-12-23
Norway EVS 2017
2017-08-31 - 2018-02-28
Netherlands EVS 2017
2018-02-03 - 2018-05-05
Romania EVS 2017
2017-11-17 - 2018-02-08
Poland EVS 2017
2018-11-10 - 2018-12-21
Serbia EVS 2017
2017-11-07 - 2017-12-25
Russia EVS 2017
2017-09-26 - 2017-11-30
Slovak Republic EVS 2017
2017-09-22 - 2017-12-23
Slovenia EVS 2017
2017-09-27 - 2018-06-06
Sweden EVS 2017
2017-11-28 - 2018-01-22
Spain EVS 2017
2017-09-11 - 2018-02-22
Switzerland EVS 2017
2020-01-01 - 2020-03-02
Portugal EVS 2017
2018-06-01 - 2018-09-22
Andorra WVS wave 7
2017-07-04 - 2017-07-19
Argentina WVS wave 7
2018-04-06 - 2018-08-06
Australia WVS wave 7
2018-12-03 - 2018-12-24
Bangladesh WVS wave 7
2017-01-18 - 2017-03-19
Bolivia WVS wave 7
2018-05-15 - 2018-06-16
Brazil WVS wave 7
2018-01-06 - 2018-02-07
Chile WVS wave 7
2018-07-07 - 2018-10-12
China WVS wave 7
2018-11-21 - 2018-12-22
Colombia WVS wave 7
2019-05-03 - 2019-06-04
Cyprus WVS wave 7
2018-01-24 - 2018-03-25
Ecuador WVS wave 7
2018-06-22 - 2018-07-23
Egypt WVS wave 7
2020-02-06 - 2020-03-19
Ethiopia WVS wave 7
2017-10-25 - 2018-03-31
Germany WVS wave 7
2017-09-08 - 2017-10-16
Greece WVS wave 7
2019-10-03 - 2020-02-25
Guatemala WVS wave 7
2018-07-16 - 2018-11-17
Hong Kong WVS wave 7
2018-06-01 - 2018-08-20
Indonesia WVS wave 7
2020-03-24 - 2020-04-25
Iran WVS wave 7
2018-06-08 - 2018-06-28
Iraq WVS wave 7
2019-09-05 - 2019-09-26
Japan WVS wave 7
2018-06-07 - 2018-06-14
Jordan WVS wave 7
2018-10-01 - 2018-11-30
Kazakhstan WVS wave 7
2019-12-05 - 2020-01-28
Kyrgyzstan WVS wave 7
2018-06-04 - 2018-06-18
Lebanon WVS wave 7
2019-10-03 - 2019-12-17
Macau WVS wave 7
2018-04-05 - 2018-05-21
Malaysia WVS wave 7
2018-01-18 - 2018-05-19
Mexico WVS wave 7
2020-01-17 - 2020-03-18
Myanmar WVS wave 7
2019-07-04 - 2020-02-21
New Zealand WVS wave 7
2019-11-30 - 2020-01-05
Nicaragua WVS wave 7
2017-12-19 - 2018-01-26
Nigeria WVS wave 7
2018-11-04 - 2018-12-11
Pakistan WVS wave 7
2018-08-17 - 2018-09-18
Peru WVS wave 7
2019-12-03 - 2019-12-09
Philippines WVS wave 7
2018-03-16 - 2018-10-27
Puerto Rico WVS wave 7
2017-11-30 - 2018-04-02
Romania WVS wave 7
2017-11-07 - 2017-12-29
Russia WVS wave 7
2017-05-20 - 2017-07-21
Serbia WVS wave 7
2017-12-24 - 2018-01-16
South Korea WVS wave 7
2019-03-25 - 2019-06-26
Taiwan WVS wave 7
2020-01-08 - 2020-02-09
Tajikistan WVS wave 7
2017-12-01 - 2018-02-26
Thailand WVS wave 7
2019-04-26 - 2019-05-27
Tunisia WVS wave 7
2018-03-20 - 2018-05-21
Turkey WVS wave 7
2017-04-28 - 2017-05-31
United States WVS wave 7
2019-12-15 - 2020-01-21
Vietnam WVS wave 7
2020-02-11 - 2020-03-23
Zimbabwe WVS wave 7
2020-07-25 - 2020-08-26
Ukraine WVS wave 7
2020-11-02 - 2020-11-23
Ukraine EVS 2017
2020-10-02 - 2020-10-19
Canada WVS wave 7
2019-11-08 - 2020-03-15
Singapore WVS wave 7
geographic Argentina
Canada
New Zealand
Norway
geographic_facet Argentina
Canada
New Zealand
Norway
genre Iceland
genre_facet Iceland
op_relation DOI:10.4232/1.13737
DOI:10.14281/18241.11
doi:10.14281/18241.14
ZA-No.: ZA7505
doi:https://doi.org/10.14281/18241.2
doi:https://doi.org/10.14281/18241.11
op_rights All metadata from GESIS DBK are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain Dedication. However, GESIS requests that you actively acknowledge and give attribution to all metadata sources, such as the data providers and any data aggregators, including GESIS. For further information see https://dbk.gesis.org/dbksearch/guidelines.asp
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op_doi https://doi.org/10.14281/18241.14
https://doi.org/10.14281/18241.2
https://doi.org/10.14281/18241.11
https://doi.org/10.4232/1.13737
_version_ 1766043836457418752
spelling ftdara:oai:oai.da-ra.de:771738 2023-05-15T16:53:19+02:00 Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS) EVS/WVS Gedeshi, Ilir Rotman, David Pachulia, Merab Poghosyan, Gevorg Kritzinger, Sylvia Fotev, Georgy Kolenović-Đapo, Jadranka Baloban, Stjepan Baloban, Josip Frederiksen, Morten Rabušic, Ladislav Saar, Erki Ketola, Kimmo Wolf, Christof Bréchon, Pierre Rosta, Gergely Voas, David Rovati, Giancarlo Jónsdóttir, Guðbjörg A. Ziliukaite, Ruta Petkovska, Antoanela Komar, Olivera Reeskens, Tim Jenssen, Anders T. Marody, Mirosława Soboleva, Natalia Voicu, Bogdan Bešić, Miloš Strapcová, Katarina Uhan, Samo Silvestre Cabrera, María Wallman-Lundåsen, Susanne Ernst Stähli, Michèle Ramos, Alice Micó Ibáñez, Joan Carballo, Marita McAllister, Ian Foa, Roberto Stefan (PI Bangladesh) Moreno Morales, Daniel E. de Oliveira de Castro, Henrique Carlos Lagos, Marta Zhong, Yang Casas, Andres (PI Colombia) Yesilada, Birol (PI Cyprus) Paez, Cristina Abdel Latif, Abdel Hamid Jennings, Will (PI Ethiopia) Welzel, Christian Díaz Argueta, Julio César Cheng, Edmund Albania Armenia Austria Azerbaijan Bosnia and Herzegovina Belarus Bulgaria Croatia Czech Republic Denmark Estonia Finland France Georgia Germany Great Britain Hungary Iceland Italy Montenegro Lithuania Macedonia, the Former Yugoslav Republic of Netherlands Norway Poland Romania Russian Federation Serbia Slovakia Slovenia Sweden Spain Switzerland Portugal Andorra Argentina Australia Bangladesh Bolivia, Plurinational State of Brazil Chile China Colombia Cyprus Ecuador Egypt Ethiopia Greece Guatemala Hong Kong Indonesia Iran, Islamic Republic of Iraq Japan Jordan Kazakhstan Kyrgyzstan Lebanon Macau Malaysia Mexico Myanmar New Zealand Nicaragua Nigeria Pakistan Peru Philippines Puerto Rico Korea, Republic of Taiwan Tajikistan Thailand Tunisia Turkey United States Viet Nam Zimbabwe Ukraine Canada Singapore 2018-02-24 - 2018-06-24 Albania EVS 2017 2018-02-20 - 2018-04-30 Armenia EVS 2017 2018-11-10 - 2018-12-23 Azerbaijan EVS 2017 2018-01-08 - 2018-05-14 Austria EVS 2017 2019-02-03 - 2019-06-14 Bosnia and Herzegovina EVS 2017 2018-02-01 - 2018-03-05 Belarus EVS 2017 2017-11-11 - 2018-09-01 Bulgaria EVS 2017 2017-10-25 - 2018-02-16 Croatia EVS 2017 2018-03-02 - 2018-08-16 France EVS 2017 2017-11-24 - 2018-07-10 Finland EVS 2017 2018-05-17 - 2018-09-18 Estonia EVS 2017 2017-09-27 - 2018-01-31 Denmark EVS 2017 2017-09-01 - 2017-12-02 Czech Republic EVS 2017 2018-01-11 - 2018-03-18 Georgia EVS 2017 2018-02-20 - 2018-08-21 Hungary EVS 2017 2018-02-12 - 2018-07-16 Great Britain EVS 2017 2017-10-23 - 2018-11-28 Germany EVS 2017 2019-07-01 - 2019-12-02 Montenegro EVS 2017 2017-12-08 - 2018-02-12 Lithuania EVS 2017 2018-09-24 - 2019-01-30 Italy EVS 2017 2017-06-19 - 2018-04-04 Iceland EVS 2017 2018-12-10 - 2019-03-28 North Macedonia EVS 2017 2018-08-22 - 2018-12-23 Norway EVS 2017 2017-08-31 - 2018-02-28 Netherlands EVS 2017 2018-02-03 - 2018-05-05 Romania EVS 2017 2017-11-17 - 2018-02-08 Poland EVS 2017 2018-11-10 - 2018-12-21 Serbia EVS 2017 2017-11-07 - 2017-12-25 Russia EVS 2017 2017-09-26 - 2017-11-30 Slovak Republic EVS 2017 2017-09-22 - 2017-12-23 Slovenia EVS 2017 2017-09-27 - 2018-06-06 Sweden EVS 2017 2017-11-28 - 2018-01-22 Spain EVS 2017 2017-09-11 - 2018-02-22 Switzerland EVS 2017 2020-01-01 - 2020-03-02 Portugal EVS 2017 2018-06-01 - 2018-09-22 Andorra WVS wave 7 2017-07-04 - 2017-07-19 Argentina WVS wave 7 2018-04-06 - 2018-08-06 Australia WVS wave 7 2018-12-03 - 2018-12-24 Bangladesh WVS wave 7 2017-01-18 - 2017-03-19 Bolivia WVS wave 7 2018-05-15 - 2018-06-16 Brazil WVS wave 7 2018-01-06 - 2018-02-07 Chile WVS wave 7 2018-07-07 - 2018-10-12 China WVS wave 7 2018-11-21 - 2018-12-22 Colombia WVS wave 7 2019-05-03 - 2019-06-04 Cyprus WVS wave 7 2018-01-24 - 2018-03-25 Ecuador WVS wave 7 2018-06-22 - 2018-07-23 Egypt WVS wave 7 2020-02-06 - 2020-03-19 Ethiopia WVS wave 7 2017-10-25 - 2018-03-31 Germany WVS wave 7 2017-09-08 - 2017-10-16 Greece WVS wave 7 2019-10-03 - 2020-02-25 Guatemala WVS wave 7 2018-07-16 - 2018-11-17 Hong Kong WVS wave 7 2018-06-01 - 2018-08-20 Indonesia WVS wave 7 2020-03-24 - 2020-04-25 Iran WVS wave 7 2018-06-08 - 2018-06-28 Iraq WVS wave 7 2019-09-05 - 2019-09-26 Japan WVS wave 7 2018-06-07 - 2018-06-14 Jordan WVS wave 7 2018-10-01 - 2018-11-30 Kazakhstan WVS wave 7 2019-12-05 - 2020-01-28 Kyrgyzstan WVS wave 7 2018-06-04 - 2018-06-18 Lebanon WVS wave 7 2019-10-03 - 2019-12-17 Macau WVS wave 7 2018-04-05 - 2018-05-21 Malaysia WVS wave 7 2018-01-18 - 2018-05-19 Mexico WVS wave 7 2020-01-17 - 2020-03-18 Myanmar WVS wave 7 2019-07-04 - 2020-02-21 New Zealand WVS wave 7 2019-11-30 - 2020-01-05 Nicaragua WVS wave 7 2017-12-19 - 2018-01-26 Nigeria WVS wave 7 2018-11-04 - 2018-12-11 Pakistan WVS wave 7 2018-08-17 - 2018-09-18 Peru WVS wave 7 2019-12-03 - 2019-12-09 Philippines WVS wave 7 2018-03-16 - 2018-10-27 Puerto Rico WVS wave 7 2017-11-30 - 2018-04-02 Romania WVS wave 7 2017-11-07 - 2017-12-29 Russia WVS wave 7 2017-05-20 - 2017-07-21 Serbia WVS wave 7 2017-12-24 - 2018-01-16 South Korea WVS wave 7 2019-03-25 - 2019-06-26 Taiwan WVS wave 7 2020-01-08 - 2020-02-09 Tajikistan WVS wave 7 2017-12-01 - 2018-02-26 Thailand WVS wave 7 2019-04-26 - 2019-05-27 Tunisia WVS wave 7 2018-03-20 - 2018-05-21 Turkey WVS wave 7 2017-04-28 - 2017-05-31 United States WVS wave 7 2019-12-15 - 2020-01-21 Vietnam WVS wave 7 2020-02-11 - 2020-03-23 Zimbabwe WVS wave 7 2020-07-25 - 2020-08-26 Ukraine WVS wave 7 2020-11-02 - 2020-11-23 Ukraine EVS 2017 2020-10-02 - 2020-10-19 Canada WVS wave 7 2019-11-08 - 2020-03-15 Singapore WVS wave 7 2021-07-07 https://doi.org/10.14281/18241.14 https://doi.org/10.14281/18241.2 https://doi.org/10.14281/18241.11 English eng World Values Survey Association DOI:10.4232/1.13737 DOI:10.14281/18241.11 doi:10.14281/18241.14 ZA-No.: ZA7505 doi:https://doi.org/10.14281/18241.2 doi:https://doi.org/10.14281/18241.11 All metadata from GESIS DBK are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain Dedication. However, GESIS requests that you actively acknowledge and give attribution to all metadata sources, such as the data providers and any data aggregators, including GESIS. For further information see https://dbk.gesis.org/dbksearch/guidelines.asp Download A - Data and documents are released for academic research and teaching. PDM CC0 CC-BY Political Attitudes and Behavior Work and Industry Society Culture Family Religion and "Weltanschauung" Person Personality Role LABOUR AND EMPLOYMENT Cultural and national identity Religion and values Politisches Verhalten und politische Einstellungen Family life and marriage Gender and gender roles Political behaviour and attitudes Dataset Numeric 2021 ftdara https://doi.org/10.14281/18241.14 https://doi.org/10.14281/18241.2 https://doi.org/10.14281/18241.11 https://doi.org/10.4232/1.13737 2022-05-13T06:06:46Z The European Values Study (EVS) and the World Values Survey (WVS) are two large-scale, cross-national and longitudinal survey research programmes. They include a large number of questions on moral, religious, social, political, occupational and family values which have been replicated since the early eighties. Both organizations agreed to cooperate in joint data collection from 2017. EVS has been responsible for planning and conducting surveys in European countries, using the EVS questionnaire and EVS methodological guidelines. WVSA has been responsible for planning and conducting surveys in countries in the world outside Europe, using the WVS questionnaire and WVS methodological guidelines. Both organisations developed their draft master questionnaires independently. The joint items define the Common Core of both questionnaires.The Joint EVS/WVS is constructed from the two EVS and WVS source datasets:- European Values Study 2017 Integrated Dataset (EVS 2017), ZA7500 Data file Version 4.0.0, doi:10.4232/1.13560 (https://doi.org/10.4232/1.13560).- European Values Study 2017: Ukraine (EVS 2017), ZA7539 Data file Version 1.0.0, doi:10.4232/1.13714 (https://doi.org/10.4232/1.13714).- World Values Survey: Round Seven–Country-Pooled Datafile. Version 2.0.0, doi:10.14281/18241.13 (https://doi.org/10.14281/18241.13). EVS 2017: The target population is defined as: individuals aged 18 or older (with no upper age limit) that have address of residence (not residential) in [country] within private households at the date of beginning of fieldwork (or in the date of the first visit to the household, in case of random-route selection). Research area: Albania (AL); Armenia (AM); Austria (AT); Azerbaijan (AZ); Belarus (BY); Bosnia and Herzegovina (BA); Bulgaria (BG); Croatia (HR); Czech Republic (CZ); Denmark (DK); Estonia (EE); Finland (FI); France (FR); Georgia (GE); Germany (DE); Great-Britain (GB-GBN); Hungary (HU); Iceland (IS); Italy (IT); Lithuania (LT); Montenegro (ME); Netherlands (NL); North Macedonia (MK); Norway (NO); Poland (PL); Portugal (PT); Romania (RO); Russian Federation (RU); Serbia (RS); Slovakia (SK); Slovenia (SI); Sweden (SE); Spain (ES); Switzerland (CH); Ukraine (UA). WVS wave 7: The target population is defined as: individuals aged 18 (16/17 is acceptable in the countries with such voting age) or older (with no upper age limit), regardless of their nationality, citizenship or language, that have been residing in the [country] within private households for the past 6 months prior to the date of beginning of fieldwork. Research area: Andorra (AD); Argentina (AR); Australia (AU); Bangladesh (BD); Bolivia (BO); Brazil (BR); Canada (CA); Colombia (CO); Chile (CL); China (CN); Cyprus (CY); Ecuador (EC); Egypt (EG); Ethiopia (ET); Germany (DE); Greece (GR); Guatemala (GT); Hong Kong SAR PRC (HK); Indonesia (ID); Iran (IR); Iraq (IQ);Japan (JP); Jordan (JO); Kazakhstan (KZ); Kyrgyzstan (KG); Lebanon (LB); Macao SAR PRC (MO); Malaysia (MY); Mexico (MX); Myanmar (MM); New Zealand (NZ); Nicaragua (NI); Nigeria (NG); Pakistan (PK); Peru (PE); Philippines (PH); Puerto Rico (PR); Romania (RO); Russian Federation (RU); Serbia (RS); Singapore (SG); South Korea (KR); Taiwan ROC (TW); Tajikistan (TJ); Thailand (TH); Tunisia (TN); Turkey (TR); Ukraine (UA); United States (US); Vietnam (VN); Zimbabwe (ZW). Probability: Multistage; Probability: Simple random; Sampling Procedure Comment: EVS 2017: The sampling procedures differ from country to country: Probability Sample: Multistage Sample Probability Sample: Simple Random Sample Representative single stage or multi-stage sampling of the adult population of the country 18 years old and older was used for the EVS 2017. Sample size was set as effective sample size: 1200 for countries with population over 2 million, 1000 for countries with population less than 2 million. 8 countries out of 16 deviated from the guidelines and planned with an effective sample size below the set threshold. Germany, Netherlands, Iceland and Switzerland, due to the mixed mode design, allocated only part (50% or more) of the effective sample size to the interviewer-administered mode. Sample design and other relevant information about sampling were reviewed by the EVS-Methodology Group (EVS-MG) and approved prior to contracting of fieldwork agency or starting of data collection. In case of on-field sampling EVS-MG proposed necessary protocols for documentation of the probabilities of selection of each respondent. The sampling was documented using the Sampling Design Form (SDF) delivered by the national teams (see the EVS2017 Methodological Guidelines, Sampling). The SDF includes the description of the sampling frame and each sampling stage as well as the calculation of the planned gross and net sample size to achieve the required effective sample. Additionally, it includes the analytical description of the inclusion probabilities of the sampling design that are used to calculate design weights. WVS 7: The sampling procedures differ from country to country: Probability Sample: Multistage Sample Probability Sample: Simple Random Sample Representative single stage or multi-stage sampling of the adult population of the country 18 (16) years old and older was used for the WVS 2017-2020. Sample size was set as effective sample size: 1200 for countries with population over 2 million, 1000 for countries with population less than 2 million. Countries with great population size and diversity (e.g. India, China, USA, Russia, Brazil etc.) are required to reach an effective sample of N=1500 or larger. Only 2 countries (Argentina, Chile) deviated from the guidelines and planned with an effective sample size below the set threshold. Sample design and other relevant information about sampling were reviewed by the WVS Scientific Advisory Committee and approved prior to contracting of fieldwork agency or starting of data collection. The sampling was documented using the Survey Design Form delivered by the national teams which included the description of the sampling frame and each sampling stage as well as the calculation of the planned gross and net sample size to achieve the required effective sample. Additionally, it included the analytical description of the inclusion probabilities of the sampling design that are used to calculate design weights. Face-to-face interview: CAPI/CAMI Face-to-face interview: PAPI Telephone interview: CATI Self-administered questionnaire: Web-based Self-administered questionnaire: Paper EVS 2017: Mode of collection: mixed mode Face-to-face interview: CAPI (Computer Assisted Personal Interview) Face-to-face interview: PAPI (Paper and Pencil Interview) Telephone interview: CATI (Computer Assisted Telephone Interview) Self-administered questionnaire: CAWI (Computer-Assisted Web Interview) Self-administered questionnaire: Paper In all countries, fieldwork was conducted on the basis of detailed and uniform instructions prepared by the EVS advisory groups. The main mode in EVS 2017 is face to face (interviewer-administered). An alternative self-administered form was possible but as a parallel mixed mode, i.e. there was no choice for the respondent between modes: either s/he was assigned to face to face, either s/he was assigned to web or web/mail format. In all countries included in the first pre-release, the EVS questionnaire was administered as face-to-face interview (CAPI or/and PAPI). The EVS 2017 Master Questionnaire was provided in English and each national Programme Director had to ensure that the questionnaire was translated into all the languages spoken by 5% or more of the population in the country. A central team monitored the translation process by means of the Translation Management Tool (TMT), developed by CentERdata (Tilburg).WVS wave 7: Mode of collection: mixed mode Face-to-face interview: CAPI (Computer Assisted Personal Interview) Face-to-face interview: PAPI (Paper and Pencil Interview) Telephone interview: CATI (Computer Assisted Telephone Interview) Self-administered questionnaire: CAWI (Computer-Assisted Web Interview) Self-administered questionnaire: Paper In all countries, fieldwork was conducted on the basis of detailed and uniform instructions prepared by the WVS scientific advisory committee and WVSA secretariat. The main data collection mode in WVS 2017-2021 is face to face (interviewer-administered). Several countries employed self-administered interview or mixed-mode approach to data collection: USA (CAWI; CATI); Australia (CAWI; postal survey); Canada (CAWI); Hong Kong SAR (PAPI; CAWI); Malaysia (CAWI; PAPI). The WVS Master Questionnaire was provided in English, Arabic, Russian and Spanish. Each national survey team had to ensure that the questionnaire was translated into all the languages spoken by 15% or more of the population in the country. WVSA Secretariat and Data archive monitored the translation process; every translation is subject to multi-stage validation procedure before the fieldwork can be started. Dataset Iceland da|ra - Registration agency for social and economic data Argentina Canada New Zealand Norway